# Job Board Aggregator Scraper (multi-board) (`neuro-scraper/job-board-aggregator-scraper`) Actor

Job Board Aggregator Scraper (multi-board) SD - Job Board Aggregator Scraper (multi-board) is a job data tool that extracts jobs from LinkedIn, Indeed, Glassdoor, Dice, Reed, Remote OK, Himalayas, Jobicy and Arbeitnow in one run: title, company, salary, job type and description.

- **URL**: https://apify.com/neuro-scraper/job-board-aggregator-scraper.md
- **Developed by:** [Neuro Scraper](https://apify.com/neuro-scraper) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 8 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.49 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

./README.md

# Actor input Schema

## `keywords` (type: `array`):

Job titles or skills, one per line, e.g. "python developer", "registered nurse". Every keyword is searched on every chosen board. Remote OK uses it as a tag, Jobicy as a tag, Arbeitnow (no search on its side) matches it against title, tags and company.

## `location` (type: `string`):

City, state or country as you would type it on the board, e.g. "New York, NY", "London", "United States". Used by LinkedIn, Indeed, Glassdoor, Dice and Reed; the remote boards (Remote OK, Himalayas, Jobicy) list remote jobs and ignore it; Arbeitnow keeps jobs whose location contains it or that are remote.

## `platforms` (type: `array`):

Which boards to search. Default: LinkedIn, Indeed and Glassdoor.

## `maxResults` (type: `integer`):

Jobs to collect from EACH board for EACH keyword. Each board is paged with its own next-page cursor until this number or its end (LinkedIn ~1,000, Indeed ~1,000, Dice 750 per search; Remote OK only publishes its latest ~99 jobs per tag).

## `maxTotalJobs` (type: `integer`):

Stop the whole run after this many jobs. 0 = no extra limit (boards x keywords x max results per board).

## `postedWithinDays` (type: `integer`):

Only jobs posted in the last N days, e.g. 1, 3, 7. Sent to LinkedIn, Indeed, Glassdoor, Dice and Reed as their own date filter (the nearest window that covers it); the exact cut is also made on the posting date for every board. 0 = any time.

## `jobType` (type: `string`):

Sent as each board's own job-type filter where it has one (Indeed, Glassdoor, Dice, Reed, Himalayas); LinkedIn ignores it logged out, so its job pages are opened and checked. Jobs from boards that publish no job type for a job are left out.

## `isRemote` (type: `boolean`):

Board remote filters (Indeed, Glassdoor, Dice, Reed) plus a check of each job's own remote flag or text. LinkedIn job pages are opened to check the description.

## `easyApply` (type: `boolean`):

Only jobs you can apply to on the board itself (LinkedIn Easy Apply, Glassdoor and Dice easy apply, Reed easy apply). Boards without that flag are left out.

## `distance` (type: `integer`):

Radius around the location for Indeed (miles or km, as the country site uses) and Reed (miles, max 100). 0 = the board's default (Indeed 25).

## `countryIndeed` (type: `string`):

Which Indeed site is searched (the location should be in that country).

## `linkedinCompanyIds` (type: `array`):

Only LinkedIn jobs of these companies: the numeric ids from a LinkedIn job search URL (f_C=1035,1441), one per line, e.g. "1035" (Microsoft).

## `companyKeywords` (type: `array`):

Keep only jobs whose company name contains one of these words, e.g. "Google", "bank" (checked on every board's company name).

## `excludeKeywords` (type: `array`):

Leave out jobs whose title or company contains one of these words, e.g. "senior", "recruiting".

## `salaryOnly` (type: `boolean`):

Leave out jobs that publish no salary.

## `fetchDescriptions` (type: `boolean`):

Opens each LinkedIn, Glassdoor, Dice and Reed job page for the full description, job type, seniority, industry, applicants, company size, revenue and website. Slower (one extra request per job). Indeed and the remote boards return full descriptions without it. Glassdoor rate-limits job pages after ~13 per IP; later Glassdoor rows then keep list fields.

## `descriptionFormat` (type: `string`):

Plain text, or the board's own HTML where it publishes one.

## `dedupeBy` (type: `string`):

The same job is often posted on several boards; the first one found is kept. Duplicates inside one board are always removed by the job id.

## `proxyConfiguration` (type: `object`):

Residential proxy is the default; each board gets its own session.

## Actor input object example

```json
{
  "keywords": [
    "python developer"
  ],
  "location": "New York, NY",
  "platforms": [
    "linkedin",
    "indeed",
    "glassdoor"
  ],
  "maxResults": 20,
  "maxTotalJobs": 0,
  "postedWithinDays": 0,
  "jobType": "any",
  "isRemote": false,
  "easyApply": false,
  "distance": 0,
  "countryIndeed": "US",
  "salaryOnly": false,
  "fetchDescriptions": false,
  "descriptionFormat": "text",
  "dedupeBy": "companyTitleCity",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "python developer"
    ],
    "location": "New York, NY",
    "platforms": [
        "linkedin",
        "indeed",
        "glassdoor"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("neuro-scraper/job-board-aggregator-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["python developer"],
    "location": "New York, NY",
    "platforms": [
        "linkedin",
        "indeed",
        "glassdoor",
    ],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("neuro-scraper/job-board-aggregator-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "python developer"
  ],
  "location": "New York, NY",
  "platforms": [
    "linkedin",
    "indeed",
    "glassdoor"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call neuro-scraper/job-board-aggregator-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuro-scraper/job-board-aggregator-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ZVRznXvDqCJpBSWuU/builds/S4bFvdYmrZMcu72Q9/openapi.json